Abstract: Despite the increase of memory capacity and CPU computing power, memory performance remains the bottleneck of in-memory database management systems due to ever-increasing data volumes and application demands. Because the scale of data workloads has out-paced traditional CPU caches and memory bandwidth, one can improve data movement from memory to computing units to improve performance in in-memory database scenarios. A near-memory database accelerator framework offloads data-intensive database operations via or to a near-memory computation engine. The database accelerator's system architecture can include a database accelerator software module/driver and a memory module with a database accelerator engine. An application programming interface (API) can be provided to support database accelerator functionality. Memory of the database accelerator can be directly accessible by the CPU.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Computer-readable media, methods, and systems are disclosed for proactively compiling in-memory database management system (DBMS) query plans upon startup of the in-memory DBMS. During normal operation of the in-memory DBMS, alternative query plans having associated execution statistics are collected and captured. Thereafter, the alternative query plans are selectively persisted and in response to detecting performance regressions, the regressed query plan is compared with prior query plans. In response to determining that a prior query plan performs better, the regressed query plan is replaced with the prior query plan. Upon a restart of the in-memory DBMS, a selected portion of the plurality of alternative query execution plans is loaded, and the plurality of alternative query execution plans are compiled. New queries are received and executed based on the proactively compiled query plans.

Abstract: Computer-readable media, methods, and systems are disclosed for tenant-specific encryption of container in connection with a database employing group-level encryption. An encryption group identifier may be assigned to container. The encryption group identifier may define how the container is encrypted. A container entry corresponding to the container may be created. A commit operation may be received for committing the assignment of the encryption group identifier to the container. A job may be initialized for encryption the container according to the encryption group identifier. The container may be flagged as modified. A flush operation may be initiated whereby the container is re-encrypted according to the encryption group identifier. Once flushing is complete, the container entry may be deleted.

Abstract: Methods and systems are used for providing a traveling avatar in a smart feedback system (SFS). As an example, a user associated with a first interaction with the SFS from a first device at a first location is identified. A first visualization of a personalized avatar associated with the user is provided to the first device. A first personalized feedback request is provided to the first device during the first visualization. First feedback of the user captured by the first device is received in response to the first personalized feedback request. The user associated with a second interaction with the SFS from a second device at the first location is identified. A second visualization of the personalized avatar is provided to the second device. A second personalized feedback request is provided to the second device. Second feedback of the user captured by the second device is received.

Abstract: Traditional machine learning model development requires significant domain knowledge and time to produce and compare models. The present disclosure provides techniques for performing automated machine learning using a conversational interface. A dataset is identified based on a user selection. A machine learning problem type and an analysis type are determined based on user input provided to the conversational interface. Machine learning algorithms are determined based on the dataset, the machine learning problem type, and the analysis type. A routing slip specifying a sequence of processing steps is generated for each of the machine learning algorithms based on the dataset, problem type, and analysis type. The sequence of processing steps in the routing slip are performed for each of the machine learning algorithms. An accuracy score is determined for each of the machine learning models generated. The accuracy scores are presented to the user via the conversational interface.

Abstract: According to some embodiments, methods and systems may provide integration adapter generation for a cloud computing environment. The system may include a smart adapter user interface component that receives a standard, programming language-agnostic interface specification. The smart adapter user interface component may then graphically interact with a user via a guided navigation, no-code wizard user interface to collect additional information associated with the standard, programming language-agnostic interface specification. A semantic model is then automatically generated by the smart adapter user interface component based on characteristics of the received standard, programming language-agnostic interface specification and the additional information. A smart adapter generator may receive the semantic model along with information about the standard, programming language-agnostic interface specification and automatically generate a Cloud Integration adapter.

Abstract: Technologies are described for performing revision control for product masters within a database system. For example, a product master, comprising master data representing a product, can be received. The product master can be identified by a unique product identifier. A definition of a minor revision of the product master can also be received and stored in association with the product master. The definition of the minor revision can comprise: one or more revision attributes that are specific to the minor revision, one or more document objects that are specific to the minor revision, and/or an indication of a bill of material (BOM) version that is specific to the minor revision. A given product master can have multiple minor revisions, each with its associated attributes, documents, and BOM version.

Abstract: In an example embodiment, a data model, software architecture, and process for synchronizing information about tags is provided, that permits assignment between different microservices. When a tag is added to an entity, then an assignment is made. The assignment is a record that contains a reference to a unique identifier for the tag and also describes the entity's domain and entity type. Each service uses at least one distinct domain, so tag assignments from different services should not conflict with one another.

Abstract: Past login activity is used to train a machine learning model and pre-compute network intrusion risk profiles. Subsequent login attempts can be evaluated with the pre-computed network intrusion risk profiles. If the profile shows sufficient intrusion risk, actions can be taken to avoid intrusion, such as requiring further authentication steps.

Abstract: The present invention relates to the technical field of shelves, particularly to a highly flexible shelf device, comprising a pallet and a plurality of divider modules and further comprising a plurality of cover plates and a plurality of position adjusting blocks. The divider modules are provided with a plurality of mounting positions, and the position adjusting blocks are mounted on the cover plates and detachably inserted in the mounting positions. The plurality of divider modules are spaced on the pallet, goods placement areas are formed between adjacent divider modules, and each placement area is covered with at least one of the cover plates. The present invention provides a highly flexible shelf device and adds the setting of the position adjusting blocks inserted in the mounting positions, thereby fixing the cover plates to the divider modules by means of the position adjusting blocks, i.e.

Abstract: Technologies are described for identifying features that can be used to predict missing attribute values. For example, a set of structured data can be received comprising a plurality of features and one or more labels. The set of structured data can be pre-processed, comprise applying one or more cleaning policies to produce a set of pre-processed features. The set of pre-processed features can be filtered using correlation-based filtering that uses one or more correlation estimation techniques to remove at least some highly correlated features. The correlation-based filtering can produce a set of filtered features. Feature subset selection can be performed comprising applying machine learning algorithms to the set of filtered features to determine relative importance among the set of filtered features. Based on the relative importance, a subset of the set of filtered features can be determined. The subset of the set of filtered features can be output.

Abstract: After receiving a new task which specifies traveling from a first source bin to a first target bin, a computer-implemented method can select a task which specifies traveling from a second source bin to a second target bin, calculate a connecting distance to the new task measured from the second target bin to the first source bin, and compare the connecting distance to the new task with connecting distances to candidate tasks of the selected task. Responsive to determining that the connecting distance to the new task is smaller than the connecting distance to one of the candidate tasks, the method can update a successor list associated with the selected task. Responsive to completion of the selected task, the method can select a successor task from the successor list to execute. The successor task has the shortest connecting distance among the candidate tasks of the selected task.

Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for determining a first cost and a second cost associated with a virtual memory page accessed during execution of an application, the first cost being associated with a first memory type, and the second cost being associated with a second memory type in a hybrid memory system, comparing the first cost and the second cost to provide a comparison result, determining a current location of the virtual memory page, the current location including one of the first memory type and the second memory type, and selectively migrating the virtual memory page from the current location based on the comparison result and the current location.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a natural, pen-and-paper user experience that harnesses cutting edge artificial intelligence and machine learning to enhance user interactions with data in a suite of software applications. The pen-and-paper user experience may mimic the time-honored human tradition of writing with pen and paper, allowing users to work in an intuitive, productive, familiar fashion. The user experience may automatically retrieve objects, e.g., data, charts, tables, graphs, etc. from backend systems and display the objects in the user experience. The user experience may allow users to provide additional natural language directly on or around the objects and update the displayed results accordingly.

Abstract: In some implementations, there is provided a method including determining whether a topology description includes a static physical host name and a static port address; in response to determining the topology description includes the static physical host name and the static port address, converting at least the topology description into a deployment file; including, in a container, the deployment file, code, and a control script that limits pre-start database operations to a single node of a plurality of nodes of a cloud platform; and deploying, the container including the deployment file, the code, and the control script, to the cloud platform to form, at the cloud platform, the plurality of nodes including the single node. Related systems and articles of manufacture are also disclosed.

Abstract: Systems, methods, and computer media for securing software applications are provided herein. Through an enhanced authentication token, an application session request can be deceptively authenticated. When a malicious session request is detected, an enhanced authentication token can be generated that appears to successfully authenticate the session but contains information indicating that the session is malicious. The attacker believes that the session has been authenticated, but the information in the token indicating that the session is malicious causes an application clone session to be established instead of an actual application session. The clone session appears to be an actual application session but protects the valid user's account by including fake data instead of the user's actual data.

Abstract: A file is created in a standardized format that defines a type of a containerized application and includes information for deployment of the containerized application. A single parser of the standardized format is thus enabled to deploy different types of containerized applications. The standardized file format includes an application definition. The application definition includes a service, a port list, a container list, a volume mount list, an access mode list, a resource usage list, or any suitable combination thereof. A client device presents a user interface that allows a user to select a containerized application to execute. An application server parses an application template file for the selected containerized application and, based on the information in the application template file, causes one or more servers (e.g., one or more Kubernetes cluster nodes) to execute the containerized application.

Abstract: A global index with a repartitioning operator is provided. A method for executing a query includes receiving a query including a request to search a first table based on a first value in a first column. The method may include generating a second table by partitioning the second table based on the first column and including, in the second table, a partition identifier and a reference row identifier. The method may include pruning the second table such that a row corresponding to the first value remains in the second table. The method may include repartitioning the row to a stream based on the partition identifier. The method may include executing the query by at least searching the partition of the first table based on the stream and the row identifier of the row. Related systems and articles of manufacture are provided.

Abstract: Computer-readable media, methods, and systems are disclosed for processing backup and recovery of pages in an in-memory database system employing tenant-based, group-level encryption for a plurality of tenants. Page metadata for a page may be collected. The page may comprise a header and a set of page contents. The page metadata may be stored with the page header. When a backup request is received, the page may be loaded into a backup stream. The page may be loaded with the header unencrypted and the page contents encrypted. When a recovery request is received, the data page may be retrieved from the backup stream. A converter may be rebuilt using the page metadata. The data page may then be written to the main memory of the database system. The page contents may be decrypted by the converter.